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Prospects of genomic prediction in the USDA Soybean Germplasm Collection: Historical data creates robust models for enhancing selection of accessions

Diego Jarquin, James Specht, Aaron Lorenz
doi: https://doi.org/10.1101/055038
Diego Jarquin
*Dept. of Agronomy and Horticulture, University of Nebraska-Lincoln, Keim Hall Lincoln, NE 68583-0915
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James Specht
*Dept. of Agronomy and Horticulture, University of Nebraska-Lincoln, Keim Hall Lincoln, NE 68583-0915
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Aaron Lorenz
†A. Lorenz, Department of Agronomy and Plant Genetics, University of Minnesota, St. Paul, MN 55108.
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  • For correspondence: lore0149@umn.edu
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Posted May 24, 2016.
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Prospects of genomic prediction in the USDA Soybean Germplasm Collection: Historical data creates robust models for enhancing selection of accessions
Diego Jarquin, James Specht, Aaron Lorenz
bioRxiv 055038; doi: https://doi.org/10.1101/055038
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Prospects of genomic prediction in the USDA Soybean Germplasm Collection: Historical data creates robust models for enhancing selection of accessions
Diego Jarquin, James Specht, Aaron Lorenz
bioRxiv 055038; doi: https://doi.org/10.1101/055038

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